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NTIRE2026_deepfake
scarlettss/NTIRE2026_deepfake
NTIRE2026_deepfake is a image classification model from scarlettss. Use it when you need a label for an image. The card lists the license as mit.
NTIRE2026-Robust Deepfake Detection Challenge - Ant International
Access
Public
Updated Mar 17, 2026
Repo size
108 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.pt53.8 GB · 100%
At a glance
- Task
- Image Classification
- License
- mit
- Access
- Public
- Created
- Mar 17, 2026
- Updated
- Mar 17, 2026
- SHA
- faae2c07
Base models
Model card
From the Hugging Face model README
Model Card for
NTIRE2026-Robust Deepfake Detection Challenge - Ant International
model_weight:
ViT-CLS(Weight file:deepfake_v135_epoch_1.pt)ViT-Attnpool(Weight file:deepfake_v156_epoch_1.pt)
How to Use
1. Prerequisites
- Python 3.10 is recommended for compatibility.
- Ensure all dependencies from
requirements.txtare installed.
2. Configure Inference
- Open the
infer.shscript in a text editor. - Locate the
-dflag and change its argument to the full path of your test image directory.
3. Run and Get Results
- Execute the script from your terminal:
bash infer.sh. - Upon completion, a
submission.zipfile containing the predictions will be created in the root directory.
- Task
- Image Classification
- License
- mit
- Languages
- en
- Created
- Mar 17, 2026
- Updated
- Mar 17, 2026